This Director-level position within the Capital Models Benchmarking team is central to delivering high-impact benchmarking exercises across market and counterparty credit risk models. The role combines technical leadership, stakeholder engagement, and platform development to support consistent and effective model implementation across member firms. The successful candidate will lead collaborative initiatives, drive analytical insight, and contribute to the evolution of analytics infrastructure.
Responsibilities
* Apply strong analytical skills to lead benchmarking exercises for Basel III market and counterparty credit risk models, ensuring robust and insightful comparisons across firms.
* Conduct deep-dive analyses of benchmarking data to uncover trends, anomalies, and opportunities for model refinement and regulatory engagement.
* Contribute to the evolution of Analytics platform by enhancing automation, improving data workflows, and expanding the scope of analytical content.
* Write summary reports that communicate technical findings to both internal and external stakeholders.
* Host and facilitate working groups with member firms to drive benchmarking process phases, present results, discuss implementation challenges, and gather feedback.
* Liaise with firms to respond to technical queries and support the adoption and integration of benchmarking solutions into their model validation processes.
* Support the Risk and Capital team's advocacy efforts on capital-related regulatory initiatives, contributing technical insights and analysis as needed.
* Respect and promote corporate values.
Qualifications
* Demonstrated knowledge and experience of derivatives markets and global regulatory capital frameworks, particularly Basel III capital models (standardised and internal).
* Expertise in market risk or counterparty credit risk; experience in both is highly desirable.
* Strong analytical and quantitative skills, with the ability to interpret complex model outputs and benchmarking data.
* Python coding for data analysis and automation.
* Advanced working knowledge of Ms. Office suite in particular Excel and Power Point.
* A self-starter who is strongly motivated, proactive, exercises effective judgment, and able to contribute meaningfully to the Capital Models Benchmarking function as well as develop their own capabilities.
* Relevant experience in derivatives risk management and financial regulation. Experience in derivatives trading, risk or structuring at a global bank is highly desirable.
* Relevant experience in comparably complex technical roles, proven ability to conduct complex quantitative analyses supported by Python-based technology and present results to diverse audiences.
* Qualifications in quantitative finance are required to at least Masters level.
* Professional certifications such as FRM or CFA are highly beneficial.
Required Skills
* Strong analytical and quantitative skills.
* Python coding for data analysis and automation.
* Advanced working knowledge of Ms. Office suite, particularly Excel and Power Point.
Preferred Skills
* Experience in both market risk and counterparty credit risk.
* Experience in derivatives trading, risk, or structuring at a global bank.
* Professional certifications such as FRM or CFA.
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